Abstract: An atomization generator and a special high-pressure atomization generation device for increasing oil and gas field recovery are provided. The special high-pressure atomization generation device for increasing oil and gas field recovery includes an agent pot assembly, a gear pump, a metering pump, an atomization generator and pipelines. The gear pump is connected with the agent pot assembly through an agent pot liquid inlet pipe. The metering pump is arranged between the agent pot assembly and the atomization generator which are connected through the low-pressure manifold pipeline and the high-pressure liquid inlet pipeline. The high-pressure liquid inlet pipeline is connected with the liquid inlet pipe. The liquid inlet pipes are connected with the metering pump. The gas inlet pipe is connected with the high-pressure gas source through the high-pressure gas inlet pipe. The gas inlet cap is provided with a gas inlet pipe.

Abstract: An inorganic adhesive includes magnesium oxide, magnesium sulfate heptahydrate, silica fume, silica sol, lithium silicate, sodium silicate, citric acid, microcrystalline cellulose, cellulose nanowhiskers, amino trimethylene phosphonic acid, and water.

Abstract: A particle electrical mobility classifier is provided for the classification of particles (e.g., particles less than 1 ??? in size) based on their electrical mobility. The particle classification zone is curved. In an exemplary embodiment, two metal concentric cylinders, separated by an annular insulation spacer, establish a particle classification zone. A DC electrical field is supplied by the cylinders in the circular classification zone. An example classifier can be operated in different modes such as: (1) as a particle precipitator; (2) as a particle electrical mobility separator, and (3) as a differential mobility classifier. The curved classification zone results in a particle classifier having an extended particle sizing range as compared to their counterparts in classical configurations. The curve of the classification channel (in the flow direction) may be in any of several configurations (e.g., circular, wavy, spiral, or helical).

Abstract: A particle electrical mobility classifier is provided for the classification of particles (e.g., particles less than 1 ??? in size) based on their electrical mobility. The particle classification zone is curved. In an exemplary embodiment, two metal concentric cylinders, separated by an annular insulation spacer, establish a particle classification zone. A DC electrical field is supplied by the cylinders in the circular classification zone. An example classifier can be operated in different modes such as: (1) as a particle precipitator; (2) as a particle electrical mobility separator, and (3) as a differential mobility classifier. The curved classification zone results in a particle classifier having an extended particle sizing range as compared to their counterparts in classical configurations. The curve of the classification channel (in the flow direction) may be in any of several configurations (e.g., circular, wavy, spiral, or helical).

Abstract: An NFC antenna assembly is provided. One embodiment of the NFC antenna assembly disclosed herein includes: a metal plate defining a fitting aperture which penetrates through the metal plate in a thickness direction of the metal plate; a mounting sheet disposed in the fitting aperture; an insulating washer disposed in the fitting aperture and surrounding the mounting sheet; and an NFC antenna disposed on the mounting sheet, wherein the mounting sheet comprises a first through slot extended in a radial direction of the mounting sheet, and the metal plate comprises a second through slot extended from the fitting aperture to a periphery of the metal plate.

Abstract: A NFC antenna assembly is provided. The NFC antenna assembly includes: a metal plate defining a fitting aperture which penetrates through the metal plate in a thickness direction of the metal plate; a mounting sheet disposed in the fitting aperture; an insulating washer disposed in the fitting aperture and surrounding the mounting sheet; and an NFC antenna disposed on the mounting sheet, in which the mounting sheet comprises a first through slot extended in a radial direction of the mounting sheet, and the metal plate comprises a second through slot extended from the fitting aperture to a periphery of the metal plate.

Abstract: Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.

Abstract: Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.

Abstract: Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.

Abstract: Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.

Abstract: Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.

Abstract: Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.